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arima

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使用 ARIMA 进行单变量时间序列预测

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How to use this skill

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  1. Open your project in Codex.
  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/Zafer-Liu/Data-Analysis-Agent/blob/HEAD/skills/arima/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/arima/. Do not write files or run scripts until I approve.

After I approve, install the complete skill folder, including required referenced files, into that project location. Verify it is discoverable, then tell me its actual invocation name and how to use it. Do not claim it is installed until you have verified it.

Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

ARIMA 预测

确认时间列、频率、目标和预测区间，按时间排序并处理缺口。检查平稳性，选择合理参数，使用时间切分验证，输出预测值、区间和误差，并说明外部冲击限制。

Tool routing

  1. Use get_schema to identify the time column, target column, table name, and available covariates.
  2. Use query_data only to verify ordering, missing timestamps, frequency, and enough rows for modeling.
  3. Use run_analysis with analysis_name="Time_Series_ARIMA" for the actual forecast computation.
  4. Use generate_chart on the returned forecast or diagnostic result tables after run_analysis succeeds.

Implementation reference

  • Tool entry: agent/tools/business/data.py::_tool_run_analysis
  • Analysis registry: Function/Analyze/registry.py
  • Analysis implementation: Function/Analyze/Time_Series_ARIMA/analyze.py
  • Chart implementation: Function/Charts_generation/chart_generate.py